Ontology-Based Extraction of Kazakh Language Word Combinations in Natural Language Processing

IF 2.2 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Data Pub Date : 2021-04-05 DOI:10.1145/3460620.3460631
Gaziza Yelibayeva, A. Sharipbay, G. Bekmanova, A. Omarbekova
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引用次数: 5

Abstract

This article provides an ontological model of nominative word combinations in the Kazakh language. It is necessary for creation of the automated templates for search of nominative word combinations of the Kazakh language in text corpora. The presented model expands the theory of applied linguistics in the field of extracting information from the text during corpus studies. The results will be used in semantic searches, Q&A systems and in the development of software applications for obtaining knowledge, as well as for training and evaluation of knowledge on the syntax of the Kazakh language in the system of e-learning.
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自然语言处理中基于本体的哈萨克语词组合提取
本文提出了哈萨克语主格词组合的本体论模型。在文本语料库中建立查找哈萨克语主格词组合的自动模板是必要的。该模型扩展了应用语言学理论在语料库研究中从文本中提取信息的领域。结果将用于语义搜索、问答系统和开发获取知识的软件应用程序,以及在电子学习系统中对哈萨克语语法知识进行培训和评价。
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来源期刊
Data
Data Decision Sciences-Information Systems and Management
CiteScore
4.30
自引率
3.80%
发文量
0
审稿时长
10 weeks
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